To reduce the threat of model loss, synthetic data corruption and insight erosion, CXOs must create a new class of "AI-aware" data recovery capabilities.

SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.

How to use Excel’s Data Model to turn related data into meaningful information Your email has been sent Excel's Data Model feature allows you to build relationships between data sets for easier ...

A decade in product development taught me that strong products don't come from UI or features. It's the data model underneath ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Data is flowing into organizations in greater faster and from more sources and in more formats than ever before. Along with this deluge, there is also a greater appreciation for the fact that is data ...

Japan is facing the urgent challenge of aging infrastructure, amidst ineffective linking of on-site experience and expertise ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

All too often I see organizations forcing the DBA group to take on the job of data modeling. Oh, perhaps it is not a formal requirement, but it happens nonetheless because there is no staff focused on ...

Texas A&M AgriLife scientists have uncovered new insights into how cattle fever ticks survive and spread across South Texas, ...